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Generalizing to New Physical Systems via Context-Informed Dynamics Model
v1v2v3 (latest)

Generalizing to New Physical Systems via Context-Informed Dynamics Model

International Conference on Machine Learning (ICML), 2022
1 February 2022
Matthieu Kirchmeyer
Yuan Yin
Jérémie Donà
Nicolas Baskiotis
A. Rakotomamonjy
Patrick Gallinari
    OODAI4CE
ArXiv (abs)PDFHTMLGithub (24★)

Papers citing "Generalizing to New Physical Systems via Context-Informed Dynamics Model"

30 / 30 papers shown
Parameter-Efficient Conditioning for Material Generalization in Graph-Based Simulators
Parameter-Efficient Conditioning for Material Generalization in Graph-Based Simulators
Naveen Raj Manoharan
Hassan Iqbal
Krishna Kumar
AI4CE
180
1
0
07 Nov 2025
Unlocking Out-of-Distribution Generalization in Dynamics through Physics-Guided Augmentation
Unlocking Out-of-Distribution Generalization in Dynamics through Physics-Guided Augmentation
Fan Xu
H. Wu
Kun Wang
Nan Wang
Qingsong Wen
X. Wu
Wei Gong
Xibin Zhao
149
0
0
28 Oct 2025
Environment Inference for Learning Generalizable Dynamical System
Environment Inference for Learning Generalizable Dynamical System
Shixuan Liu
Yue He
Haotian Wang
Wenjing Yang
Yunfei Wang
Peng Cui
Zhong Liu
OODAI4CE
232
2
0
22 Oct 2025
Towards Generalizable PDE Dynamics Forecasting via Physics-Guided Invariant Learning
Towards Generalizable PDE Dynamics Forecasting via Physics-Guided Invariant Learning
Siyang Li
Yize Chen
Yan Guo
Ming Huang
Hui Xiong
AI4CEAI4TS
181
1
0
29 Sep 2025
Meta-learning Structure-Preserving Dynamics
Meta-learning Structure-Preserving Dynamics
Cheng Jing
Uvini Balasuriya Mudiyanselage
Woojin Cho
Minju Jo
A. Gruber
Kookjin Lee
AI4CE
162
1
0
15 Aug 2025
Weight-Space Linear Recurrent Neural Networks
Weight-Space Linear Recurrent Neural Networks
Roussel Desmond Nzoyem
Nawid Keshtmand
Enrique Crespo Fernandez
Idriss Tsayem
Raúl Santos-Rodríguez
David A.W. Barton
Tom Deakin
411
3
0
01 Jun 2025
True Zero-Shot Inference of Dynamical Systems Preserving Long-Term Statistics
True Zero-Shot Inference of Dynamical Systems Preserving Long-Term Statistics
Christoph Jürgen Hemmer
Daniel Durstewitz
AI4TSSyDaAI4CE
719
15
0
19 May 2025
DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction
DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction
Rudy Morel
Jiequn Han
Edouard Oyallon
AI4CE
306
12
0
28 Apr 2025
Towards Foundational Models for Dynamical System Reconstruction: Hierarchical Meta-Learning via Mixture of Experts
Towards Foundational Models for Dynamical System Reconstruction: Hierarchical Meta-Learning via Mixture of Experts
Roussel Desmond Nzoyem
Grant Stevens
Amarpal Sahota
David A.W. Barton
Tom Deakin
602
6
0
07 Feb 2025
Learning Interpretable Hierarchical Dynamical Systems Models from Time Series Data
Learning Interpretable Hierarchical Dynamical Systems Models from Time Series DataInternational Conference on Learning Representations (ICLR), 2024
Manuel Brenner
Elias Weber
G. Koppe
Daniel Durstewitz
AI4TSAI4CE
320
22
0
07 Oct 2024
Meta-Dynamical State Space Models for Integrative Neural Data Analysis
Meta-Dynamical State Space Models for Integrative Neural Data AnalysisInternational Conference on Learning Representations (ICLR), 2024
Ayesha Vermani
Josue Nassar
Hyungju Jeon
Matthew Dowling
Il Memming Park
553
6
0
07 Oct 2024
Zebra: In-Context Generative Pretraining for Solving Parametric PDEs
Zebra: In-Context Generative Pretraining for Solving Parametric PDEs
Louis Serrano
Armand K. Koupai
Thomas X. Wang
Pierre Erbacher
Patrick Gallinari
AI4CE
410
5
0
04 Oct 2024
Reducing Variance in Meta-Learning via Laplace Approximation for
  Regression Tasks
Reducing Variance in Meta-Learning via Laplace Approximation for Regression Tasks
Alfredo Reichlin
Gustaf Tegnér
Miguel Vasco
Hang Yin
Mårten Björkman
Danica Kragic
294
0
0
02 Oct 2024
Reevaluating Meta-Learning Optimization Algorithms Through Contextual Self-Modulation
Reevaluating Meta-Learning Optimization Algorithms Through Contextual Self-Modulation
Roussel Desmond Nzoyem
David A.W. Barton
Tom Deakin
338
4
0
02 Oct 2024
Strategies for Pretraining Neural Operators
Strategies for Pretraining Neural Operators
Anthony Zhou
Cooper Lorsung
AmirPouya Hemmasian
Amir Barati Farimani
AI4CE
434
13
0
12 Jun 2024
SineNet: Learning Temporal Dynamics in Time-Dependent Partial
  Differential Equations
SineNet: Learning Temporal Dynamics in Time-Dependent Partial Differential Equations
Xuan Zhang
Jacob Helwig
Yu-Ching Lin
Yaochen Xie
Cong Fu
Stephan Wojtowytsch
Shuiwang Ji
AI4CE
415
12
0
28 Mar 2024
Masked Autoencoders are PDE Learners
Masked Autoencoders are PDE Learners
Anthony Zhou
A. Farimani
AI4CE
401
10
0
26 Mar 2024
Unsupervised Learning of Hybrid Latent Dynamics: A Learn-to-Identify
  Framework
Unsupervised Learning of Hybrid Latent Dynamics: A Learn-to-Identify Framework
Yubo Ye
Sumeet Vadhavkar
Xiajun Jiang
R. Missel
Huafeng Liu
Linwei Wang
269
0
0
13 Mar 2024
Out-of-Domain Generalization in Dynamical Systems Reconstruction
Out-of-Domain Generalization in Dynamical Systems Reconstruction
Niclas Alexander Göring
Florian Hess
Manuel Brenner
Zahra Monfared
Daniel Durstewitz
AI4CE
460
30
0
28 Feb 2024
Interpretable Meta-Learning of Physical Systems
Interpretable Meta-Learning of Physical SystemsInternational Conference on Learning Representations (ICLR), 2023
Matthieu Blanke
Marc Lelarge
AI4CE
370
10
0
01 Dec 2023
Learning Efficient Surrogate Dynamic Models with Graph Spline Networks
Learning Efficient Surrogate Dynamic Models with Graph Spline NetworksNeural Information Processing Systems (NeurIPS), 2023
Chuanbo Hua
Federico Berto
Michael Poli
Stefano Massaroli
Jinkyoo Park
AI4TSAI4CE
276
6
0
25 Oct 2023
Generalized Teacher Forcing for Learning Chaotic Dynamics
Generalized Teacher Forcing for Learning Chaotic DynamicsInternational Conference on Machine Learning (ICML), 2023
Florian Hess
Zahra Monfared
Manuela Brenner
Daniel Durstewitz
AI4CE
441
64
0
07 Jun 2023
Training neural operators to preserve invariant measures of chaotic
  attractors
Training neural operators to preserve invariant measures of chaotic attractorsNeural Information Processing Systems (NeurIPS), 2023
Ruoxi Jiang
Peter Y. Lu
Elena Orlova
Rebecca Willett
AI4TS
494
44
0
01 Jun 2023
CONFIDE: Contextual Finite Differences Modelling of PDEs
CONFIDE: Contextual Finite Differences Modelling of PDEsKnowledge Discovery and Data Mining (KDD), 2023
Ori Linial
Orly Avner
Dotan Di Castro
382
2
0
28 Mar 2023
MetaPhysiCa: OOD Robustness in Physics-informed Machine Learning
MetaPhysiCa: OOD Robustness in Physics-informed Machine Learning
S Chandra Mouli
M. A. Alam
Bruno Ribeiro
OOD
216
6
0
06 Mar 2023
SpReME: Sparse Regression for Multi-Environment Dynamic Systems
SpReME: Sparse Regression for Multi-Environment Dynamic Systems
Moonjeong Park
Youngbin Choi
Namhoon Lee
Dongwoo Kim
260
3
0
12 Feb 2023
Phase2vec: Dynamical systems embedding with a physics-informed
  convolutional network
Phase2vec: Dynamical systems embedding with a physics-informed convolutional networkInternational Conference on Learning Representations (ICLR), 2022
Matthew Ricci
Noa Moriel
Zoe Piran
Mor Nitzan
AI4CE
334
6
0
07 Dec 2022
Towards Cross Domain Generalization of Hamiltonian Representation via
  Meta Learning
Towards Cross Domain Generalization of Hamiltonian Representation via Meta LearningInternational Conference on Learning Representations (ICLR), 2022
Yeongwoo Song
Hawoong Jeong
OODAI4CE
468
4
0
02 Dec 2022
Continuous PDE Dynamics Forecasting with Implicit Neural Representations
Continuous PDE Dynamics Forecasting with Implicit Neural RepresentationsInternational Conference on Learning Representations (ICLR), 2022
Yuan Yin
Matthieu Kirchmeyer
Jean-Yves Franceschi
A. Rakotomamonjy
Patrick Gallinari
AI4CE
329
77
0
29 Sep 2022
Continual Learning of Dynamical Systems with Competitive Federated
  Reservoir Computing
Continual Learning of Dynamical Systems with Competitive Federated Reservoir Computing
Leonard Bereska
E. Gavves
248
7
0
27 Jun 2022
1
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